LLM-Server/docker-compose.yml

services:
  llama-server:
    image: ghcr.io/ggml-org/llama.cpp:server-rocm
    container_name: llama-server
    devices:
      - /dev/kfd
      - /dev/dri
    group_add:
      - video
      - render
    security_opt:
      - seccomp=unconfined
    ipc: host
    volumes:
      - models:/models
    command: >
      -m /models/${LLAMA_MODEL_FILE:-Qwen3.8-27B-UD-Q4_K_XL.gguf}
      --host 0.0.0.0
      --port 8080
      --n-gpu-layers ${LLAMA_GPU_LAYERS:-999}
      --ctx-size ${LLAMA_CTX_SIZE:-131072}
      --jinja
    # No published host port: llama-server is reached only via the omniroute
    # gateway on the ai-stack docker network now — see issue #15. Its
    # unauthenticated API no longer needs to be LAN-reachable directly.
    expose:
      - "8080"
    restart: unless-stopped
    networks: [ai-stack]
    labels:
      # ponytail: idle-timeout tuning lives here, not in a separate lazytainer config file —
      # one place to look. Raise LAZYTAINER_INACTIVE_TIMEOUT if 15 min proves too eager.
      - "lazytainer.group.llamaserver.sleepMethod=stop"
      - "lazytainer.group.llamaserver.ports=8080"
      - "lazytainer.group.llamaserver.inactiveTimeout=${LAZYTAINER_INACTIVE_TIMEOUT:-900}"
      - "lazytainer.group.llamaserver.minPacketThreshold=2"

  # ponytail: one-off downloader, not a standing service — run via
  # `docker compose --profile tools run --rm downloader`. Folded into
  # scripts/update.sh, which runs this every time; the `test -f` guard is
  # what makes that safe to re-run without re-downloading. Keeps the model
  # file inside the named `models` volume instead of a host bind-mount.
  downloader:
    image: curlimages/curl:latest
    profiles: ["tools"]
    # ponytail: named volume is created root-owned; curl_user (uid 100) can't
    # write into it otherwise, so run as root for this one-off job.
    user: root
    volumes:
      - models:/models
    entrypoint: ["sh", "-c"]
    command:
      - >
        test -f /models/${LLAMA_MODEL_FILE:-Qwen3.8-27B-UD-Q4_K_XL.gguf} &&
        echo "already downloaded, skipping" ||
        curl -L --fail --create-dirs -o /models/${LLAMA_MODEL_FILE:-Qwen3.8-27B-UD-Q4_K_XL.gguf}
        https://huggingface.co/unsloth/Qwen3.8-27B-GGUF/resolve/main/${LLAMA_MODEL_FILE:-Qwen3.8-27B-UD-Q4_K_XL.gguf}

  # Replaces litellm — see issue #31 (wayfinder map) for the full migration
  # rationale/findings. No static config.yaml equivalent: provider routing
  # (llama-server, searxng-search) is registered once through the dashboard
  # or POST /api/providers after first boot, not checked into this repo —
  # see docs/proxy-key-onboarding.md.
  omniroute:
    image: diegosouzapw/omniroute:latest
    container_name: omniroute
    depends_on:
      llama-server:
        condition: service_started
    volumes:
      - omniroute-data:/app/data
    env_file: .env
    environment:
      # Split-port mode: dashboard and API are fully separate ports (unlike
      # LiteLLM's single :4000 for both /v1 and /ui) — only API_PORT (via
      # the OMNIROUTE_PORT:4000 host mapping below) is published, so the
      # dashboard has no network route in from outside this container at
      # all. No NPM path-deny rule needed.
      - API_HOST=0.0.0.0
      - API_PORT=${OMNIROUTE_API_PORT:-20129}
      - DASHBOARD_PORT=${OMNIROUTE_DASHBOARD_PORT:-20128}
      # Required to register llama-server/searxng-search as providers —
      # their base URLs are LAN/container-internal addresses, blocked by
      # default (SSRF guard against public-provider spoofing).
      - OMNIROUTE_ALLOW_PRIVATE_PROVIDER_URLS=true
      - OMNIROUTE_ALLOW_LOCAL_PROVIDER_URLS=true
    # Same reasoning as litellm's extra_hosts entry below — ai-stack's bridge
    # network can't resolve search.home on its own.
    extra_hosts:
      - "search.home:${SEARXNG_LAN_IP}"
    # OMNIROUTE_PORT (host) is decoupled from API_PORT (container-internal,
    # left at omniroute's own default) via plain Docker port mapping — the
    # gateway needs to stay reachable at the same :4000 this stack has
    # always published (NPM/firewall already point there), without having
    # to also change omniroute's own internal port config to match.
    ports:
      - "${OMNIROUTE_PORT:-4000}:${OMNIROUTE_API_PORT:-20129}"
    restart: unless-stopped
    networks: [ai-stack]
    # ponytail: TCP-connect check, not an HTTP /healthz GET — the image has
    # no python3/curl/wget (confirmed live, `which` found only node), and
    # OmniRoute's own Docker guide already treats a bare TCP probe on this
    # port as an acceptable liveness check, not just the HTTP one. Simpler
    # and avoids depending on /healthz's exact path/response shape.
    healthcheck:
      test:
        - CMD-SHELL
        - node -e "require('net').connect(${OMNIROUTE_API_PORT:-20129},'localhost').on('connect',function(){this.end();process.exit(0)}).on('error',()=>process.exit(1))"
      interval: 30s
      timeout: 10s
      retries: 3
      start_period: 40s

  lazytainer:
    image: ghcr.io/vmorganp/lazytainer:master
    container_name: lazytainer
    # NOT network_mode: host — lazytainer identifies its own container by
    # matching os.Hostname() against the Docker container-ID list
    # (vmorganp/Lazytainer, configureFromLabels()); under host networking the
    # container inherits the host's hostname instead of its own ID, so that
    # match always fails and it panics with "Could not determine container ID
    # of lazytainer" on every start. Host networking also can't see traffic
    # to llama-server:8080 anyway — that port only exists on the ai-stack
    # bridge network (no host port published, see issue #15 above). Joining
    # ai-stack instead fixes both: hostname becomes the real container ID,
    # and it's on the same network as the traffic it's watching.
    networks: [ai-stack]
    volumes:
      - /var/run/docker.sock:/var/run/docker.sock:ro
    restart: unless-stopped
    depends_on:
      - llama-server

networks:
  ai-stack:

volumes:
  models:
  omniroute-data: